Viitasalo J T, Mikkonen S, Salonen M, Aura O, Gajewski J, Wit A
Research Institute for Olympic Sports, Jyväskylä, Finland.
J Sports Med Phys Fitness. 1994 Sep;34(3):228-34.
Interrelationships between forearm tremor and a number of body dimensional, muscle structure, muscular strength and training background variables were studied among 13 male students with athletic backgrounds. The subjects performed isometric dominant upper extremity elbow flexions with a 90 degrees joint angle and with the forearm held in a horizontal position. A freely hanging mass was attached via a strain gauge transducer, a metal chain and cuff to the forearm. An accelerometer attached to the cuff measured the vertical component of tremor. The power spectrum density function was calculated for a tremor acceleration signal and a bandwidth of 7-20 Hz was analysed in more detail. The right M. vastus lateralis was biopsed in order to determine the muscle fiber composition. Arm mass and muscle fiber composition were found to correlate statistically significantly with the tremor frequency characteristics. In the further analyses arm mass was found to be the only variable explaining the tremor frequency characteristics; the effects of the muscle structure variables were minor when the effects of arm mass was controlled in partial correlation analyses. Interindividual differences in motor unit firing properties were presumed to explain the dependence found between arm mass and tremor frequency.
在13名具有运动背景的男学生中,研究了前臂震颤与一些身体维度、肌肉结构、肌肉力量和训练背景变量之间的相互关系。受试者在关节角度为90度且前臂保持水平位置的情况下进行优势上肢等长肘关节屈曲。一个自由悬挂的重物通过应变片传感器、金属链和袖带连接到前臂。附着在袖带上的加速度计测量震颤的垂直分量。计算震颤加速度信号的功率谱密度函数,并更详细地分析7-20Hz的带宽。对右侧股外侧肌进行活检以确定肌纤维组成。发现手臂质量和肌纤维组成与震颤频率特征在统计学上有显著相关性。在进一步分析中,发现手臂质量是解释震颤频率特征的唯一变量;在偏相关分析中,当控制手臂质量的影响时,肌肉结构变量的影响较小。推测运动单位放电特性的个体差异可解释手臂质量与震颤频率之间的相关性。